pinliner - Python Inliner
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.. image:: https://img.shields.io/pypi/v/pinliner.svg
This tool allows you to merge all files that comprise a Python package into
a single file and be able to use this single file as if it were a package.
Not only will it behave as if it were the original package, but it will also
show code in exceptions and debug sessions, and will display the right line
number and file when logging.
Imports will work as usual so if you have a package structure like:
│ ├── file_b.py
│ └── __init__.py
And with pinliner installed you execute:
.. code:: bash
$ mkdir test
$ pinliner my_package test/my_package.py
$ cd test
You'll be able to use generated `my_package.py` file as if it were the real
.. code:: python
>>> import my_package
>>> from my_package import file_a as a_file
>>> from my_package.sub_package import file_b
And `__init__.py` contents will be executed as expected when importing
`my_package` package and you'll be able to access its contents like you would
with your normal package.
Modules will also behave as usual.
If your package is checking `__name__` for `__main__` it will also work as
usual. Although given the fact that we only have 1 file we will no longer be
able to call other packages/modules directly from the command line to trigger
code conditioned to `__name__` having `__main__` as its value.
Loader code will automatically compile packages and modules to byte code,
before running it. When a module is imported for the first time, or when the
specific's package/module source (not the whole inlined file) is more recent
than the current compiled file, a .pyc file containing the compiled code will
be created in the same directory as the pinlined .py file.
If the byte code is up to date then it will be used instead, thus avoiding a
recompilation, exactly the same as python normally does, with the only
exception that all .pyc files will be in the same directory and the filenames
will include the full path to the original file.
You can install pinliner globally in your system or use a virtual environment,
this is how it could be done using a virtual environment:
.. code:: bash
$ virtualenv .venv
$ source .venv/bin/activate
$ pip install pinliner
After that you can run the tool with `pinliner`.
* Add support for incompatible loaders to coexists.
* Generate and use pyc files for modules.
* Add support for the filename to be different than the package.
* Now __main__ works directly from the package as expected.
* Fix missing template file when installing
* Reduce memory footprint to keep the package structure and code.
* Include tagging of beginning of files in the output.
* Show code when debugging and on tracebacks
* Improve internal package and module names
* Fix line numbers (off by 1)
* Package's root namespace is no longer polluted by pinliner
* Original filename for package/modules is stored so it will be reported by
exceptions and logging.
* Basic functionality.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.